title: Predicting in vivo efficacy of potential restenosis therapies by cell culture studies: species-dependent susceptibility of vascular smooth muscle cells.
abstract: Although drug-eluting stents (DES) are successfully utilized for restenosis therapy, the development of local and systemic therapeutic means including nanoparticles (NP) continues. Lack of correlation between in vitro and in vivo studies is one of the major drawbacks in developing new drug delivery systems. The present study was designed to examine the applicability of the arterial explant outgrowth model, and of smooth muscle cells (SMC) cultures for prescreening of possible drugs. Elucidation of different species sensitivity (rat, rabbit, porcine and human) to diverse drugs (tyrphostins, heparin and bisphsophonates) and a delivery system (nanoparticles) could provide a valuable screening tool for further in vivo studies. The anticipated sensitivity ranking from the explant outgrowth model and SMC mitotic rates (porcine>rat>>rabbit>human) do not correlate with the observed relative sensitivity of those animals to antiproliferative therapy in restenosis models (rat>/=rabbit>porcine>human). Similarly, the inhibitory profile of the various antirestenotic drugs in SMC cultures (rabbit>porcine>rat>>human) do not correlate with animal studies, the rabbit- and porcine-derived SMC being highly sensitive. The validity of in vitro culture studies for the screening of controlled release delivery systems such as nanoparticles is limited. It is suggested that prescreening studies of possible drug candidates for restenosis therapy should include both SMC cell cultures of rat and human, appropriately designed with a suitable serum.
authors.affiliation: Dept. of Pharmaceutics, School of Pharmacy, The Hebrew University of Jerusalem, Jerusalem 91120, Israel.
authors.forename: Hila
authors.initials: H
authors.lastname: Epstein
authors.forename: Laura
authors.initials: L
authors.lastname: Rabinovich
authors.forename: Shmuel
authors.initials: S
authors.lastname: Banai
authors.forename: Vicktoria
authors.initials: V
authors.lastname: Elazar
authors.forename: Jianchuan
authors.initials: J
authors.lastname: Gao
authors.forename: Michael
authors.initials: M
authors.lastname: Chorny
authors.forename: Haim D
authors.initials: HD
authors.lastname: Danenebrg
authors.forename: Gershon
authors.initials: G
authors.lastname: Golomb